Senior MLOps Engineer

Harnham; United States; Remote; USD 130,000 - 150,000; Full time

Job summary

Join a global leader in legal technology as a Business Manager, focusing on Machine Learning with experience in model deployment and MLOps. Ideal for an individual with strong software engineering skills, you'll drive innovation in a fast-paced environment, contributing to projects like automated tax prep and document summarization.

Qualifications

• 5+ years of software engineering experience in production environments.
• 2+ years of experience working with ML systems (Python).
• Experience with ModelOps / MLOps workflows.

Responsibilities

• Lead experiments and iterate on POCs.
• Define ML model deployment, scaling, and maintenance.
• Work with non-technical stakeholders.

Skills

Machine Learning

ModelOps

MLOps

Software Engineering

NLP

Cloud Environments

Agile Development

Problem Solving

Job description

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Harnham provided pay range

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

Direct message the job poster from Harnham

Business Manager - Machine Learning, LLMs, Generative AI & MLOps at Harnham

$130,000–$150,000 + bonus + RSUs

Legal-tech

Remote

About the Organization

Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a model deployment–focused role—ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You'll lead experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 5+ years of software engineering experience in production environments
• 2+ years of experience working with ML systems (Python)
• Experience with ModelOps / MLOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on ML products
• Engineering management experience, including mentoring or leading cross-functional teams
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Industries

  Legal Services

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